Abstract -
Todays Mobile Ad hoc Networks (MANETs) became a popular issue for scientists, and diverse studies have been made to increase the performance of ad hoc networks. In MANET nodes compromise to forward packets for each other communicate beyond their transmission range. The mobile nodes communicate with each other without any infrastructure. As wireless ad-hoc networks lack an infrastructure, they are exposed to a lot of attacks. One of these attacks called Wormhole Attack that two adversary node collaborate together to transmit the packets in out of band channel. In this paper, performance of Ad hoc on-Demand Distance Vector (AODV) Protocol and Dynamic Source Routing (DSR) protocol are evaluated in presence of wormhole attack and without wormhole attack with Constant Bit Rate (CBR) traffic under dissimilar scalable network mobility. Also we evaluate effect and compare it with standard protocol in term of Packet Delivery Ratio, throughput and End to End Delay via simulation, using Network Simulation2 (NS2) for our research.

Abstract -
Vehicular Ad hoc Network (VANET) is a special case of Mobile Ad hoc Network (MANET) with two key differences which are the high and constrained mobility of its nodes. Because of this high mobility, the topology of VANET is considered so dynamic. As a reason of this highly dynamic topology, the link breakages in these networks are something common. This problem causes high data loss and delay. In order to decrease these problems, the idea of link breakage prediction has appeared to deal with this phenomenon in MANET. This idea has proved to be successful to enhance the performance of routing protocols in MANET, but till now it did not be applied to the area of VANET. In this paper the idea of link breakage prediction was used to enhance the performance of the well known Dynamic Source Routing protocol (DSR) in VANET by applying a new mechanism which includes replacing the whole effected route (Not only the effected link). This new mechanism was able to decrease the packet loss and delay that occur in the original protocol.

Abstract -
Direct Torque Control (DTC) of induction motor is preferred control strategy recently, due to its quick torque response, simplicity, less sensitivity against motor parameter variation. In general, PI speed controllers are widely used in industrial applications due to their simple structure. Due to the continuous variation of machine parameters, model uncertainties, nonlinear dynamics and system external disturbance, fixed gain PI controllers may becomes unable to provide the required control performance. Genetic Algorithm (GA) is used to tune the PI controller gains to ensure optimal performance. GA is more attractive for applications that involve non smooth or noisy signals. GA is used to minimize speed error and attains optimal values of the PI controller gains. The efficient and effective speed controllers can be designed by using adaptive control techniques. In which the conventional PI controller is replaced by structures based on Sliding Mode Control (SMC) strategy. SMC is known for its capability to cope with bounded disturbance as well as model imprecision which makes it ideal for the robust nonlinear control of IM drives.

Abstract -
Ad Hoc Networks provide a real opportunity to design flexible networks, very simple to deploy. However they remain a particular computation environment, characterized by the deficiency of pre-existed and centralized infrastructure. In the other hand, SIP protocol, which knows a huge booming in internet networks, requires centralized entities, like proxy server, registrar server and location service; consequently SIP is not adapted to Ad Hoc networks. In this paper, we present and evaluate a new technique, which we have called Virtual Network for SIP (VNSIP) to fix the problem related to the constraints of SIP deployment in Ad Hoc network. The main idea of this technique is to create a virtual infrastructure, enabling SIP to proceed in a distributed architecture inside the Ad hoc Network.

Department of Computer Science, University of North Carolina at Chapel Hill, USA

Abstract -
This paper presents a case study of socio-economic disparities - human factors - having tremendous impact on the performance and behavior of a cloud-based software system. Failures to take such factors into account lead to serious design, implementation, and operational problems. A detailed empirical analysis of a commercial mobile network address book web application, serving over 8.3 million subscribers, was conducted for the joint purposes of building realistic subscriber behavior and data models and to explain certain performance characteristics and expectations. Extensive analysis of anonymized production data revealed that many aspects of users data and activity exhibited strongly-heavy-tailed characteristics, particularly characteristics affecting database performance and interactive request latencies, which could be ameliorated by traditional techniques such as caching or multi-threading. Several performance-critical aspects of users data were found to be well-described by the Log-Normal probability distribution, were heavily-skewed to the right, and exhibited Gini coefficients consistent with income inequalities in the Western world. The analytical model was translated into enhanced simulation and performance tooling, enabling more realistic performance and capacity testing of the product. Our deeper understanding also lead to changes in monitoring and system performance evaluation and quality-of-service parameters, statements of performance and capacity ratings, and architecture that would not otherwise have been justifiable.